Transforms breast cancer pathology reports into OMOP-CDM, suggesting a robust framework for oncology research.
By integrating breast cancer pathology information into the OMOP-CDM, this study facilitates the unified analysis of clinical and pathological data for retrospective oncology research. Moreover, the proposed NLP-based pathology report standardization framework for integrating into the OMOP-CDM can be readily adopted by other institutions as the use of OMOP-CDM continues to expand in cancer research.
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Kim et al. (2026) studied this question.
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